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Illicit online pharmacies allow the purchase of prescription drugs online without a prescription. Such pharmacies leverage social media platforms such as Twit- ter as a promotion and marketing tool with the intent of reaching out to a…

计算机与社会 · 计算机科学 2017-12-05 Janani Kalyanam , Timothy Mackey

The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of collected Twitter data, models were developed for classifying…

社会与信息网络 · 计算机科学 2020-03-26 Joseph Tassone , Peizhi Yan , Mackenzie Simpson , Chetan Mendhe , Vijay Mago , Salimur Choudhury

The social media network phenomenon leads to a massive amount of valuable data that is available online and easy to access. Many users share images, videos, comments, reviews, news and opinions on different social networks sites, with…

计算与语言 · 计算机科学 2017-11-02 Abdulaziz M. Alayba , Vasile Palade , Matthew England , Rahat Iqbal

Mining social media messages for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been used for monitoring drug abuse, adverse reactions of drug…

计算与语言 · 计算机科学 2018-05-17 Debanjan Mahata , Jasper Friedrichs , Hitkul , Rajiv Ratn Shah

Mining social media messages such as tweets, articles, and Facebook posts for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been used for…

计算与语言 · 计算机科学 2018-08-08 Debanjan Mahata , Jasper Friedrichs , Rajiv Ratn Shah , Jing Jiang

With the increase in popularity of deep learning models for natural language processing (NLP) tasks, in the field of Pharmacovigilance, more specifically for the identification of Adverse Drug Reactions (ADRs), there is an inherent need for…

信息检索 · 计算机科学 2020-04-01 Ramya Tekumalla , Juan M. Banda

The automation of adverse drug reaction (ADR) detection in social media would revolutionize the practice of pharmacovigilance, supporting drug regulators, the pharmaceutical industry and the general public in ensuring the safety of the…

计算与语言 · 计算机科学 2020-05-15 Amy Breden , Lee Moore

Understanding the real-world effects of recreational drug use remains a critical challenge in public health and biomedical research, especially as traditional surveillance systems often underrepresent user experiences. In this study, we…

Social media platforms such as Instagram and Twitter have emerged as critical channels for drug marketing and illegal sale. Detecting and labeling online illicit drug trafficking activities becomes important in addressing this issue.…

计算与语言 · 计算机科学 2023-07-10 Chuanbo Hu , Bin Liu , Xin Li , Yanfang Ye

As the problem of drug abuse intensifies in the U.S., many studies that primarily utilize social media data, such as postings on Twitter, to study drug abuse-related activities use machine learning as a powerful tool for text classification…

社会与信息网络 · 计算机科学 2019-04-04 Han Hu , NhatHai Phan , James Geller , Stephen Iezzi , Huy Vo , Dejing Dou , Soon Ae Chun

In this study, we reveal, for the first time, popular online social networks (especially Twitter) are being extensively abused by miscreants to promote illicit goods and services of diverse categories. This study is made possible by…

密码学与安全 · 计算机科学 2025-02-04 Hongyu Wang , Ying Li , Ronghong Huang , Xianghang Mi

Illicit drug trade via social media sites, especially photo-oriented Instagram, has become a severe problem in recent years. As a result, tracking drug dealing and abuse on Instagram is of interest to law enforcement agencies and public…

社会与信息网络 · 计算机科学 2016-05-26 Xitong Yang , Jiebo Luo

Since the classification of COVID-19 as a global pandemic, there have been many attempts to treat and contain the virus. Although there is no specific antiviral treatment recommended for COVID-19, there are several drugs that can…

信息检索 · 计算机科学 2020-10-12 Ramya Tekumalla , Juan M. Banda

This paper studies the relation between activity on Twitter and sales. While research exists into the relation between Tweets and movie and book sales, this paper shows that the same relations do not hold for products that receive less…

社会与信息网络 · 计算机科学 2015-03-17 Remco Dijkman , Panagiotis Ipeirotis , Freek Aertsen , Roy van Helden

Artificial intelligence (AI)-powered recommender systems play a crucial role in determining the content that users are exposed to on social media platforms. However, the behavioural patterns of these systems are often opaque, complicating…

社会与信息网络 · 计算机科学 2023-09-20 Giulio Corsi

In this paper, we demonstrate how the state-of-the-art machine learning and text mining techniques can be used to build effective social media-based substance use detection systems. Since a substance use ground truth is difficult to obtain…

计算与语言 · 计算机科学 2017-06-02 Tao Ding , Warren K. Bickel , Shimei Pan

The growing incidents of counterfeiting and associated economic and health consequences necessitate the development of active surveillance systems capable of producing timely and reliable information for all stake holders in the…

社会与信息网络 · 计算机科学 2015-10-20 Haruna Isah , Daniel Neagu , Paul Trundle

Social media has recently emerged as a premier method to disseminate information online. Through these online networks, tens of millions of individuals communicate their thoughts, personal experiences, and social ideals. We therefore…

社会与信息网络 · 计算机科学 2016-07-26 Moin Nadeem

Substance use, substance use disorder, and overdoses related to substance use are major public health problems globally and in the United States. A key aspect of addressing these problems from a public health standpoint is improved…

计算与语言 · 计算机科学 2023-09-06 Abeed Sarker

Social media platforms have revolutionized traditional communication techniques by enabling people globally to connect instantaneously, openly, and frequently. People use social media to share personal stories and express their opinion.…

计算与语言 · 计算机科学 2023-09-04 Asma Abdulsalam , Areej Alhothali , Saleh Al-Ghamdi
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